Sneak Peek

The Insiders Checklist for Hardening an In-Memory Computing Cluster
  • Alexey
    Goncharuk
    Chief Architect
    at
    GridGain Systems
  Architecture
Keeping your Data Close and your Caches Hotter
  • Viktor
    Gamov
    Developer Advocate
    at
    Confluent
  • Ricardo
    Ferreira
    Developer Advocate
    at
    Confluent
  Architecture
Best Practices for Monitoring Distributed In-Memory Systems
  • Denis
    Mekhanikov
    Client Service Lead
    at
    GridGain
  Tales from the Trenches
In-Memory Computing Meets Kubernetes
  • Tal
    Doron
    Director, Solution Architecture
    at
    Gigaspaces
  New Capabilities
How to Add Speed and Scale to SQL, Support New Data Needs, and Keep Your RDBMS
  • Valentin
    Kulichenko
    -
    at
    GridGain
  Architecture
Low Latency, High Throughput Similarity Search with an In-Memory Associative Processor
  • AVIDAN
    AKERIB
    Vice President Associative Computing BU
    at
    GSI Technology
  Architecture
In-Memory Computing Meets Database Durability: Best Practices for Native Persistence and Data Recovery
  • Ivan
    Rakov
    -
    at
    GridGain
  New Capabilities
Increase Application Performance with SQL Auto-Caching; No Code Changes
  • Roland
    Lee
    VP of Products
    at
    Heimdall Data
  • Erik
    Brandsberg
    CTO
    at
    Heimdall Data
  New Capabilities
Cloud Adjacent Databases Facilitate Migration to Cloud
  • Chris
    Jenkins
    Senior Director, In-Memory Technology
    at
    Oracle
  Architecture
Healthcare Outbounds: Unbounded Scalability
  • Sujoy
    Acharya
    Principal Engineer
    at
    Cerner
  • Robert
    Stephens
    Director of Revenue Cycle Development
    at
    Cerner Corporation
  Tales from the Trenches